News / #developer-tool Tag Developer Tool 500 articles archived under #developer-tool · RSS Sign in to follow arXiv — Machine Learning research 3d ago Support Selection Beyond Smooth DAG Exactness: Completion Geometry,Score Margins, and Selective Certificates arXiv:2608.08103v1 Announce Type: new Abstract: Smooth acyclicity constraints answer whether a weighted support is a DAG, whereas structure learning asks which support change should be made. Existing analyses establish degeneracy for particular constraint formulas but do not… 25 arXiv — Machine Learning research 3d ago Predicting blood clot growth from sparse post-onset measurements with latent neural differential equations arXiv:2608.08165v1 Announce Type: new Abstract: Computational models of blood clotting improve understanding of thrombus formation, but their clinical application remains limited because many model inputs are difficult to measure and patient-specific data are often sparse. We… 27 arXiv — Machine Learning research 3d ago Biologically Informed Representation Learning for Robust Cross-Center Generalization of MALDI-TOF Mass Spectrometry arXiv:2608.08182v1 Announce Type: new Abstract: Machine learning models for MALDI-TOF mass spectrometry have shown considerable promise for clinical microbiology tasks such as microbial identification and antimicrobial resistance prediction. However, their deployment across… 35 arXiv — Machine Learning research 3d ago Causal State-Space Model for Causal Inference: Estimating Longitudinal Individual Treatment Effects arXiv:2608.08288v1 Announce Type: new Abstract: Estimating counterfactual outcomes over time from longitudinal observational data is central to clinical decision support. Existing methods rely on domain confusion -- adversarial training that renders representations invariant to… 35 arXiv — Machine Learning research 3d ago Out-of-Distribution Federated Distillation with Domain-Aware Proxy arXiv:2608.08525v1 Announce Type: new Abstract: Federated Learning is a distributed machine learning paradigm that trains a global model by aggregating local clients without sharing private data of each client. Federated Distillation (FD) builds upon this paradigm by leveraging… 29 arXiv — NLP / Computation & Language research 3d ago Conversation as Measurement in Clinical Encounters: Observable Phase Structure, Partially Observable Patient State arXiv:2608.08868v1 Announce Type: new Abstract: Many modern AI systems analyze conversational traces to infer aspects of human interaction and state, implicitly assuming that such information is recoverable from conversation. We study observability: whether a target is… 28 arXiv — NLP / Computation & Language research 3d ago ELICITED: EHR-grounded Longitudinal Interactive Conversations for Information-seeking Triage Evaluation and Decision-making arXiv:2608.09024v1 Announce Type: new Abstract: Emergency-department (ED) triage requires clinicians to rapidly identify patients who need immediate attention, determine who can safely wait, and prioritize limited clinical resources. At presentation, however, information may be… 5 arXiv — NLP / Computation & Language research 3d ago When Confidence Fails: Overconfidence in LLMs under Uncertainty and Missing Clinical Information arXiv:2608.09080v1 Announce Type: new Abstract: Large Language Models (LLMs) have achieved strong performance in medical question answering and clinical reasoning tasks. However, their reliability under uncertainty remains poorly understood which raises critical concerns for… 4 arXiv — NLP / Computation & Language research 3d ago An Agentic Generative Large Language Model for Treatment Planning of Colorectal Cancer arXiv:2608.09142v1 Announce Type: new Abstract: Treatment planning in precision oncology requires synthesizing heterogeneous patient information with rapidly evolving clinical guidelines to ensure guideline-concordant care. While large language models (LLMs) show promise in many… 21 Ars Technica — AI news-outlet 3d ago Amazon backs power plant that may become top source of US climate pollution Amazon announces first off-the-grid data center in race to reap AI profits. 27 GitHub Blog — AI & ML official-blog 3d ago Using the GitHub Copilot SDK for Java Enterprise Java developers have a new superpower—drive GitHub Copilot from idiomatic Java code with annotations, virtual threads, and more. The post Using the GitHub Copilot SDK for Java appeared first on The GitHub Blog . 37 r/MachineLearning community 3d ago Semi Edge Inference Idea [D] Today the most important factor in AI is cost. My idea is to split ML models inference (closed ones, proprietary) across server and edge computing on clients, and I would like to hear what do you think about this thing. For example some of model weights/modules would be on… 22 r/LocalLLaMA community 3d ago Comparing how Cline, Kilo, and Qwen Code handle long-task context/state (and why context loops keep happening) I've been comparing Cline / Kilo / Qwen Code lately since they all handle long-task state differently. Cline: has Focus Chain, a markdown file kept outside the conversation that gets reinjected on a cadence, plus Memory Bank for project context, plus a standalone gRPC server so… 31 r/LocalLLaMA community 3d ago Mature/better alternatives to pi-web? I'm looking for a web interface for my pi harness without the CLI, but this was the only one I found. Are there any others? I'm not looking for any chat interface like Open WebUI that's rather bloated, requiring accounts/logins for certain features, etc. It would be great if it… 26 arXiv — Machine Learning research 4d ago MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records arXiv:2608.06430v1 Announce Type: new Abstract: Learning from Electronic Health Records (EHRs) has gained significant attention due to its potential to improve clinical prediction. However, effective learning remains challenging because EHRs encode heterogeneous, temporally… 8 arXiv — Machine Learning research 4d ago Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning arXiv:2608.06637v1 Announce Type: new Abstract: Robust aggregation methods are widely used in federated learning to mitigate the impact of adversarial client behavior. Distance-based aggregation rules, such as Krum and Multi-Krum, select updates that are closest to the majority… 10 arXiv — Machine Learning research 4d ago Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning arXiv:2608.07157v1 Announce Type: new Abstract: Sub-model federated learning lets resource-constrained clients train width-reduced versions of a global model, but existing methods allocate capacity by device resources alone. A natural next step, allocating capacity by each… 19 arXiv — Machine Learning research 4d ago TOFD: Target-Oriented Feature Decoupling against Poisoning Attacks in Split Federated Learning arXiv:2608.07274v1 Announce Type: new Abstract: Split Federated Learning (SFL) facilitates privacy-preserving collaborative training with reduced client-side overhead. However, its split architecture introduces unique attack surfaces, rendering it vulnerable to diverse poisoning… 22 arXiv — NLP / Computation & Language research 4d ago ResidencyRL: Reinforcement Learning in Simulated Clinical Environments arXiv:2608.07418v1 Announce Type: cross Abstract: In medical education, physicians convert academic knowledge into clinical expertise through residency: years of training across thousands of encounters, with diverse sources of feedback and progressively greater autonomy. Much of… 13 arXiv — NLP / Computation & Language research 4d ago Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent arXiv:2604.07269v2 Announce Type: replace Abstract: Clinical expertise improves not only by acquiring medical knowledge, but by accumulating experience that yields reusable diagnostic patterns. Recent LLMs-based diagnostic agents have shown promising progress in clinical… 34 Hugging Face Daily Papers research 4d ago StreamArena: Toward Continuous, Interactive, and Long-Horizon Agentic Streaming Video Understanding Abstract Deploying autonomous multimodal agents in continuous, real-world environments requires them to ingest unbounded audio-visual streams and maintain hour-scale memory. However, current evaluations predominantly rely on brief clips and multiple-choice formats. This design… 27 TechCrunch — AI news-outlet 5d ago Planned Amazon data center could become the biggest climate polluter in the U.S. As part of a planned Texas data center, Amazon is investing in an on-site power plant that could reportedly become the largest source of climate pollution in the United States. 9 r/LocalLLaMA community 6d ago I got tired of my 300GB model loads taking 5min on RPC. PR 26291 speeds it 300% to 1min30sec (4060ti+ddr4) + (4060ti+ddr5) - On b10173 - "state":"loading" 4min54sec. - With this PR and GGML_RPC_LOAD_THREADS 12 - "state":"loading" 1min38sec The PR is close to ready, will need a docs change if they want to keep the new GGML_RPC_LOAD_THREADS variable.. and hopefully they take it with the client-side… 10 r/LocalLLaMA community 6d ago Which model would be best for Delphi development? Hey all, Are there any Delphi developers in the crowd? If so, which models would you say are best at doing development in Delphi? What are your thoughts/suggestions here, and is there a good GUI client/harnass you like for doing delphi specific things? Thanks   submitted by… 22 Hacker News — AI on Front Page community 6d ago Ancient Library – 1,060 Greek/Latin texts, click any word to parse it Article URL: https://ancientlibrary.net/ Comments URL: https://news.ycombinator.com/item?id=49214770 Points: 230 # Comments: 73 37 Ars Technica — AI news-outlet 6d ago AI chatbots have failed people in crisis. Can that be fixed? Clinicians and researchers say AI companies need to open up their safety data. 16 Hugging Face Daily Papers research 6d ago Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval Abstract Short segments of perceived speech can be retrieved from non-invasive magnetoencephalographic (MEG) recordings by deep networks trained with a CLIP-style objective against wav2vec 2.0 audio embeddings. Yet their weights do not map onto electrophysiological quantities,… 20 OpenAI official-blog 6d ago How HSP GRUPPE builds AI capabilities for tax advisory Discover how HSP GRUPPE uses ChatGPT Enterprise to boost productivity, improve work quality, and create more capacity for tax advisory and client service. 38 arXiv — Machine Learning research 7d ago MS-MLB: An Open Machine Learning Benchmark for Blood-Based MS Classification arXiv:2608.05196v1 Announce Type: new Abstract: Multiple sclerosis (MS) is diagnosed through clinical assessment, magnetic resonance imaging, laboratory evidence when appropriate, and exclusion of better explanations. Blood RNA expression data may contain disease associated… 14 arXiv — Machine Learning research 7d ago An Emerging Retail Portfolio Management Application: Personalized, Tax-Aware Reinforcement Learning with Natural Language Goals arXiv:2608.05255v1 Announce Type: new Abstract: Retail investors lack access to the kind of personalized, tax-aware portfolio management that institutional clients take for granted -- existing robo-advisors use static, rule-based allocation, and institutional-grade systems… 7 arXiv — Machine Learning research 7d ago DG-FedReuse: Proxy-Gradient-Gated Cached-Update Reuse with Matched Sparse Uplink Accounting arXiv:2608.05358v1 Announce Type: new Abstract: Federated learning repeatedly incurs local optimization and model-update transmission. We study DG-FedReuse, a simulator-level mechanism that allows selected clients to contribute age-decayed cached updates when a stochastic… 26 arXiv — Machine Learning research 7d ago THBKG: A Temporal Biomedical Knowledge Graph for Decision-Aligned Clinical Advancement Prediction arXiv:2608.05982v1 Announce Type: new Abstract: Inadequate target--disease linkage accounts for 40--50\% of Phase~II efficacy failures, so anticipating which programmes will advance would let sponsors back the hypotheses most likely to reach patients. What a programme can be… 32 arXiv — Machine Learning research 7d ago From Continuous Predictors to Clinical Thresholds: Early Evidence on Performance Trade-offs of Guideline-Based Categorisation for Ischaemic Stroke Outcome Prediction arXiv:2608.05203v1 Announce Type: cross Abstract: Machine learning models achieve strong predictive accuracy for 90-day outcome prediction in acute ischaemic stroke, yet clinical adoption is limited by the misalignment of model explanations with clinicians' reasoning. Motivated… 23 arXiv — Machine Learning research 7d ago Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation arXiv:2608.05341v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) for radiology report generation are typically trained on retrospective clinical reports, which suffer from omission noise: clinically present findings are left unreported due to the omission of… 25 arXiv — Machine Learning research 7d ago DoctorAgents: an agentic framework to iteratively refine AutoML pipeline for small clinical temporal data arXiv:2608.05375v1 Announce Type: cross Abstract: Clinical machine learning (ML) has the potential to support high-stakes medical decision-making, but reliable deployment is often constrained by scarce, heterogeneous, and temporal complexity. Developing effective ML pipelines… 14 arXiv — NLP / Computation & Language research 7d ago Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies arXiv:2608.05993v1 Announce Type: new Abstract: Much clinical value is conveyed not through structured records but through communication: exchanges in which patients describe symptoms, clinicians reason and give instructions, ambulances hand over to emergency departments, and… 4 r/LocalLLaMA community 7d ago AI clickbait Reading through this subreddit and many more I keep running into what I am calling "AI click bait". Either projects that seems interesting in the description/title but when you open them they're the same AI vide coded slop that does not solve the problem; or apparent discussions… 11 r/LocalLLaMA community 7d ago I compared even more parsers on 14 PDF-parsing capabilities using different types In a previous post , I compared MinerU, Granite-Docling, and PaddleOCR-VL. Many commentors suggested I added their favorite parsers. So I did. And also added some new capabilities to differentiate the top models. Here is the full list of parser compared: MinerU 2.5 (1.2B VLM)… 9 arXiv — Machine Learning research 8d ago Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity arXiv:2608.04045v1 Announce Type: new Abstract: Federated learning (FL) enables aircraft fleet operators to jointly train remaining-useful-life (RUL) models from engine sensor telemetry without sharing raw data. This study examines two complementary challenges: benign… 19 arXiv — Machine Learning research 8d ago LiNC: Lightweight Noise Correction via Per-Sample Trust and Gaussian Mixture Modeling arXiv:2608.04147v1 Announce Type: new Abstract: Label noise is common in medical imaging datasets due to factors such as inter-rater variability, annotation errors, and ambiguous cases. This can severely undermine the reliability and clinical effectiveness of machine learning… 35 arXiv — Machine Learning research 8d ago SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery arXiv:2608.04930v1 Announce Type: new Abstract: Bayesian causal discovery seeks to determine the posterior distribution of causal theories, which are interpreted as directed acyclic graphs (DAGs) that explain the observed data. The resulting posterior allows systematic reasoning… 10 arXiv — NLP / Computation & Language research 8d ago Patients-like-me: A Variational LM--GNN Framework for Explainable Clinical Prediction arXiv:2608.04193v1 Announce Type: new Abstract: Language models (LMs) offer strong textual representations for electronic health records (EHRs), but they encode patient sequences in isolation and provide limited explainability. Graph neural networks (GNNs) complement LMs by… 6 arXiv — NLP / Computation & Language research 8d ago RESPClinBench: Benchmarking Multimodal Clinical Decision-Making and Longitudinal Disease Management in Respiratory Specialty Care arXiv:2608.04514v1 Announce Type: new Abstract: Background: Respiratory specialty care requires multimodal interpretation, longitudinal risk assessment, guideline-concordant intervention, and whole-course management, which are poorly represented by examination-oriented medical… 11 arXiv — NLP / Computation & Language research 8d ago Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent arXiv:2608.04772v1 Announce Type: new Abstract: Scaling supervision for multi-turn medical agents is difficult because expert dialogue annotation is costly and clinical conversations are privacy-restricted. We introduce Guideline-as-Oracle (GAO), which compiles American Academy… 19 arXiv — NLP / Computation & Language research 8d ago Reading Between the Frames: Interpreting Implicit and Non-literal Meaning in Social Media Videos arXiv:2608.04939v1 Announce Type: new Abstract: Social media videos often communicate meanings that go beyond their visible actions, captions, or speech. A mundane clip may become humorous, ironic, or satire only through the interaction of multimodal cues and cultural context,… 20 arXiv — NLP / Computation & Language research 8d ago Neighborhood-Aware Dual Biomedical Entity Linking arXiv:2608.04144v1 Announce Type: cross Abstract: Biomedical entity linking grounds mentions in clinical and scientific text to entities in a curated knowledge base (KB) with ontological structure, which supports downstream applications such as literature-scale information… 13 Vercel — AI dev-tools 8d ago Pause workflows for approval with Chat SDK You can build human-in-the-loop approvals with Chat SDK through the new chat/workflow subpath. One requestApproval call posts a card with Approve and Deny buttons and suspends a Workflow SDK workflow until someone decides. The wait can last seconds or days and survives deploys… 8 Vercel — AI dev-tools 8d ago Introducing Agent Plugins 1.0.0 Agent Plugins 1.0.0 is now available. It is an open, vendor-neutral standard for packaging Agent Skills and MCP servers into portable plugins. Compatible agent clients can discover and load them. Agent Plugins defines a common format: a root plugin.json manifest, plus fixed… 7 Vercel — AI dev-tools 8d ago Marketplace integrations now install provider skills When you install a Vercel Marketplace integration from the Vercel CLI, it now also installs that provider's agent skills from skills.sh , so your agents know how to use it: This happens automatically for any provider that publishes skills. You can also find integrations without… 9 Vercel — AI dev-tools 8d ago Seedance 2.5 now available on Vercel AI Gateway Seedance 2.5 from ByteDance is now available on AI Gateway. It generates up to 30 seconds in a single clip, holding camera movement and continuity without stitching shots together in post. Short clips can also be extended with character, scene, and camera movement carried over.… 33 Page 2 of 10 · 500 articles ← Newer Older →
